Token导航 LogoToken导航

Agent Skill · 开发

unit-test-shifting-left-from-requirements(单元测试从需求左移)

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

unit-test-shifting-left-from-requirements 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 20,954。

总安装 198周安装 8GitHub Stars 5下载 62核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:unit-test-shifting-left-from-requirements(单元测试从需求左移)
来源仓库:https://github.com/wizeline/sdlc-agents
仓库路径:skills/unit-test-shifting-left-from-requirements
安装命令:
npx skills add https://github.com/wizeline/sdlc-agents --skill unit-test-shifting-left-from-requirements
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/wizeline/sdlc-agents --skill unit-test-shifting-left-from-requirements

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

该技能将测试活动前置到需求分析阶段以减少后期缺陷成本。适用于 DevOps 左移理念落地实践。可提取需求中的可测试点转化为验收标准。需建立跨职能协作机制确保各方理解一致。unit-test-shifting-left-from-requirements 属于开发类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/unit-test-shifting-left-from-requirements

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/wizeline/sdlc-agents --skill unit-test-shiftin…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

unit-test-shifting-left-from-requirements 怎么安装?

在终端执行 npx skills add https://github.com/wizeline/sdlc-agents --skill unit-test-shifting-left-fro…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

unit-test-shifting-left-from-requirements 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

unit-test-shifting-left-from-requirements 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

unit-test-shifting-left-from-requirements 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

unit-test-shifting-left-from-requirements 用的人多吗?

公开数据是累计安装 198 次,近一周安装 8 次,下载 62 次,GitHub 5 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

unit-test-shifting-left-from-requirements 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
unit-test-shifting-left-from-requirements

单元测试从需求左移 · 本页

1985接触敏感数据未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

What This Skill Does

Generates unit tests and BDD scenarios directly from requirements, user stories, or PRDs — before any implementation code exists. Enables true shift-left testing by making tests the first artifact produced for a feature, not the last.


When to Apply This Skill

  • A user story, acceptance criteria, or PRD is provided with no accompanying code
  • A team wants tests ready before the developer starts implementation
  • BDD / Gherkin scenarios are needed to align QA, dev, and product on expected behavior
  • A feature's testability needs to be validated before implementation begins

TDD Framing

This skill operationalizes the Red phase of the Red-Green-Refactor cycle at scale. Every test skeleton produced here is a failing test by design — it cannot pass until the developer writes the implementation. Outputs from this skill should be committed to the repository before any implementation code is written, making the failing tests the formal definition of done for the feature.


Atomic Skills to Load First

Read these files before executing any step:

  1. ../unit-test-generating-unit-tests/SKILL.md — Test matrix methodology and AAA pattern applied in spec-driven mode: derive test cases from acceptance criteria rather than from code paths
  2. ../unit-test-authoring-test-plans/SKILL.md — BDD / Gherkin scenario format (Feature / Scenario / Given / When / Then) used to produce human-readable scenario documents alongside test skeletons

Execution Steps

Read references/index.md before executing any step.

Step 1 — Parse Requirements for Testable Criteria

Read the provided input (user story, PRD, acceptance criteria) and extract:

  • Explicit acceptance criteria ("system shall...", "given... when... then...")
  • Implicit behavioral rules buried in prose descriptions
  • Edge cases and error conditions mentioned in requirements
  • Out-of-scope statements (note these — do not generate tests for them)

Produce a numbered list of testable statements before writing any test code.

Step 2 — Build the Test Case Matrix

For each testable statement, define:

#Requirement SourceConditionExpected BehaviorCategory
1AC-3Valid user logs inJWT token returnedHappy
2AC-3Wrong password401 returnedError

Use the test matrix approach from ../unit-test-generating-unit-tests/SKILL.md.

Step 3 — Generate Test Skeletons

Produce test skeletons with:

  • Correct function/method names following the naming convention
  • ARRANGE / ACT / ASSERT sections stubbed out
  • TODO comments where implementation-specific values are not yet known
  • Placeholder mocks only for true externalities (DB, API, file, clock) — not internal logic
  • Fixed seeds for any randomness; mocked time for any date/time assertions
  • One behavior per test — if a requirement yields three behaviors, write three skeletons

Each skeleton must be written so it will fail when run against an empty implementation. If a skeleton could accidentally pass without any code written, it is too weak — strengthen the assertion.

Example (pytest):

def test_login_when_valid_credentials_expects_jwt_token():
    # ARRANGE
    username = "alice"
    password = "valid_password"  # TODO: align with auth service contract
    # ACT
    result = login(username, password)  # TODO: import once implemented
    # ASSERT
    assert result.token is not None      # will fail until implemented
    assert result.status_code == 200

Step 4 — Produce BDD / Gherkin Scenarios

For each test case, produce a corresponding Gherkin scenario following the format in ../unit-test-authoring-test-plans/SKILL.md:

Feature: User Login

  Scenario: Successful login with valid credentials
    Given a registered user with username "alice"
    When the user submits correct credentials
    Then the system returns a JWT token
    And the response status is 200

  Scenario: Login fails with incorrect password
    Given a registered user with username "alice"
    When the user submits an incorrect password
    Then the response status is 401
    And the body contains "Invalid credentials"

Step 5 — Flag Ambiguities

Before delivering output, list any requirements that were:

  • Too vague to produce a test for (request clarification)
  • Contradictory with other requirements (flag for product review)
  • Missing expected values or thresholds (mark with TODO)

Output Deliverables

test_<feature>_skeleton.<ext>     <- test skeletons ready to fill in once code is written
gherkin_scenarios_<feature>.md   <- BDD scenarios for QA and product alignment
requirements_coverage_map.md     <- maps each requirement to one or more test IDs
ambiguities.md                   <- list of unclear or incomplete requirements

平台分布

Codex

37.29%
按下载量换算23

Claude

30.13%
按下载量换算19

Cursor

16.51%
按下载量换算10

Gemini CLI

8.51%
按下载量换算5

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills